LiteLLM Agent MCP Server

Example Use Cases

• 1

  Call any LLM model from a unified interface.

• 2

  Compare responses from multiple LLMs to select the best output.

• 3

  Model recommendations based on task type to optimize performance and cost.

Description

This MCP server allows AI agents like Claude Code and Cursor to call multiple large language models (LLMs) such as GPT-4, Claude, Gemini, and Mistral via LiteLLM's unified API. It enables comparing outputs from different models, selecting the best response, and routing tasks to the most suitable or cost-effective model. This flexibility helps agents overcome limitations of single-model usage and optimize for task type and cost.